Blog

Introducing the neural sparse two-phase algorithm

Aug 13, 2024 • technical-posts

We are excited to announce the release of a new feature in OpenSearch 2.15, a two-phase search pipeline for neural sparse retrieval. In testing, this feature has achieved significant speed...

Introducing OpenSearch 2.16

Aug 07, 2024 • releases

OpenSearch 2.16 is here with an expanded toolkit to make it easier to build search and generative AI applications, along with more advancements in performance and efficiency and upgrades that...

Exploring concurrent segment search performance

Jul 30, 2024 • search, technical-post

In October 2023, we introduced concurrent segment search in OpenSearch as an experimental feature. Searching segments concurrently improves search latency across a large variety of workloads. This feature was made...

Optimize storage and performance with the MatchOnlyText field in OpenSearch

Jul 22, 2024 • technical-posts

The OpenSearch Project introduced a new field type called match_only_text in version 2.12. This field type is designed for full-text search scenarios where scoring and positional information of terms within...

Using OpenSearch to visualize metrics ingested with OpenTelemetry

Jul 16, 2024 • technical-post

OpenSearch provides OpenTelemetry ingestion by using Data Prepper as an ingestion tool. In this blog post, we explore how to analyze and visualize metrics indexed using this method.

OpenSearch at Berlin Buzzwords 2024

Jul 03, 2024 • community

June 9–11, the OpenSearch Project joined the community at Berlin Buzzwords to share knowledge and interact with the search and open-source communities.

Boosting Hybrid query performance in OpenSearch 2.15

Jul 02, 2024 • technical-posts

Since its introduction in OpenSearch 2.10, hybrid search has become popular among users looking to enhance the relevance of their semantic search results. By combining full-text search and semantic search,...

Optimizing OpenSearch with Faiss FP16 scalar quantization: Enhancing memory efficiency and cost-effectiveness

Jun 27, 2024 • technical-posts

The rise of large language models (LLMs) and generative AI has ushered in a new era of natural language processing capabilities. Vector databases have emerged as a crucial component in...

Diving into OpenSearch 2.15

Jun 25, 2024 • releases

OpenSearch 2.15 is now available with an array of new and expanded functionality to help you scale up performance and efficiency; advance stability, availability, and resiliency; and enhance your search...

Understanding vector radial search in OpenSearch

Jun 24, 2024 • technical-posts

Before OpenSearch version 2.14, the OpenSearch k-NN plugin only provided top K queries for approximate vector similarity search. OpenSearch 2.14 introduced a new type of vector search—radial search. Radial search...

OpenSearchCon San Francisco - Schedule and CFP Updates

Jun 21, 2024 • community

The OpenSearch Project invites the OpenSearch community to explore the future of search, analytics, and generative AI at the first OpenSearch user conference in North America. Join us in San...

So you want better OpenSearch documentation?

Jun 18, 2024 • events

Learn how the OpenSearch Project uses the Diataxis documentation system to identify gaps while working with its community to encourage contributions and improve its content.

Announcing an OpenSearch and DataStax generative AI partnership

Jun 13, 2024 • community, partners

Learn about the collaboration between open source startup DataStax and the OpenSearch Project on integration efforts to support Generative AI developers.

A deep dive into faster semantic sparse retrieval in OpenSearch 2.12

Jun 11, 2024 • technical-posts

Deep dive into the fundamentals of neural sparse search and explore two methods for accelerating semantic sparse retrieval in OpenSearch.

OpenSearch Project update: A look at performance progress through version 2.14

Jun 07, 2024 • technical-posts, community

Learn more about the strategic enhancements and performance features that OpenSearch has delivered up to version 2.14.